Chand Sheikh

Chand Sheikh

S15L02 – Adjusted R-Square

Understanding Adjusted R-Squared in Regression Analysis: A Comprehensive Guide Table of Contents Introduction to R-Squared Limitations of R-Squared What is Adjusted R-Squared? The Formula for Adjusted R-Squared Why Penalize R-Squared? Calculating Adjusted R-Squared: Step-by-Step Practical Example Adjusted R-Squared vs. R-Squared…

S15L01 -R-square

Understanding R-Squared: The Essential Metric for Evaluating Regression Models Table of Contents Why Not Accuracy for Regression? What is R-Squared? Calculating R-Squared Interpreting R-Squared Values Advantages of Using R-Squared Limitations of R-Squared Beyond R-Squared: Adjusted R-Squared Practical Applications: Insurance Charges…

S41L01 – Overview of DeepSpeech

Exploring Deep NLP with Mozilla’s Deep Speech Table of Contents Introduction to Deep Speech Understanding the Power of Deep NLP Demonstrating Deep Speech in Action Future Prospects and Learning Opportunities Conclusion Introduction to Deep Speech Deep Speech is an open-source…

S40L12 – A simple digit classifier

Building a Simple Neural Network for Digit Classification with Keras and MNIST Table of Contents Introduction to Neural Networks for Digit Classification Understanding the MNIST Dataset Setting Up the Environment Loading and Exploring the MNIST Dataset Data Preprocessing: Reshaping and…

S40L11 – Back propogation

Understanding How Neural Networks Learn: A Comprehensive Guide Table of Contents Introduction to Neural Networks The Role of Weights in Neural Networks Understanding Gradient Descent Optimizers: Enhancing Learning Efficiency Minimizing the Cost Function Practical Example: Image Processing with Neural Networks…

S40L10 – Types of Activation Functions

Comprehensive Guide to Activation Functions in Deep Learning Table of Contents What Are Activation Functions? Binary Step/Threshold Activation Function Logistic Sigmoid Activation Function Hyperbolic Tangent (Tanh) Activation Function Rectified Linear Unit (ReLU) Advanced Activation Functions Leaky ReLU Exponential Linear Unit…

S40L09 – Activation Functions

Understanding Activation Functions in Neural Networks: Purpose, Types, and Applications Table of Contents What is an Activation Function? Purpose of Activation Functions How Activation Functions Work Common Types of Activation Functions Choosing the Right Activation Function Practical Example: Implementing Activation…

S40L03 – Why Neural Network

Understanding the Necessity of Neural Networks in Modern Machine Learning Table of Contents Introduction Why Neural Networks? Case Study: Optimal Smartphone Sales Prediction Handling Complex Data Structures Deep Learning vs. Traditional Machine Learning Anatomy of a Neural Network Layers in…

S40L02 – Neurons

Understanding Neurons and Their Role in Artificial Intelligence Introduction Welcome back! In this article, we delve into the fascinating world of neurons, both biological and artificial. Understanding neurons is fundamental to grasping how our brains function and how we can…

S40L01 – NLP, DL, DNLP

Understanding NLP, Deep Learning, and Deep NLP: A Comprehensive Guide Table of Contents What is Natural Language Processing (NLP)? Introduction to Deep Learning (DL) The Intersection of NLP and DL: Deep NLP (DNLP) Why Deep NLP Outperforms Traditional NLP Applications…

S05L06 – Assignment and Tips

Comprehensive Guide to Rain Prediction Using Data Science Techniques with Python Predicting weather conditions, especially rainfall, is a crucial task in various sectors such as agriculture, aviation, and event planning. Leveraging data science and machine learning techniques, we can build…